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Tier-1 brand, mid-level SRE role, and metro location increase candidate competition.
Core cloud/SRE skills are transferable across industries, though financial-services familiarity is beneficial.
Mandatory 5+ years plus specific AWS/containers/CI-CD and AI-assisted SRE skills enforce strict technical filters.
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Lead design, development, and delivery of software automations to reduce manual operational work and improve production system reliability.
Troubleshoot and manage priority incidents including facilitating blameless post-mortems and ensuring permanent fixes.
Drive adoption and coaching of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes within SRE workflows.
5+ years applied software engineering experience with formal training or certification.
Experience with CI/CD tools, microservice architecture, AWS cloud native solutions, containers, and application resiliency.
Working knowledge of infrastructure components including routers, load balancers, cloud products, compute, storage, and networks.
Experience with AI development tools (e.g., copilot, claude code, LLM) applied to SRE workflows and responsible AI practices in engineering.
Experienced in building and operating cloud-native, resilient systems mainly on AWS using microservices and containers.
Proven ability to lead technical adoption of AI-assisted software development tools with a focus on security, performance, and code validation.
Comfortable owning incident lifecycle management and collaborating closely with development teams to improve reliability and automate operations.